Review of Web Structure Mining Techniques using Clustering and Ranking Algorithms
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2014, Vol 3, Issue 6
Abstract
Today, Web mining plays very important role. It discovers and extract information from web services and documents. In this paper we focus on the web structure mining techniques which are used to extract the rich information from web pages. User can retrieve information in the form of text, hyperlinks, images, audio, videos and image links. There are a lot of irrelevant data present on the webpage and ranking algorithms provide the relevant data which the users want. Furthermore, Clustering approach is used to group the data into clusters and used with ranking algorithms to improve the efficiency and relevancy of data. Most of the search engines rely on the ranking algorithms instead of old approach as Support Vector Machines to improve the execution time. In this paper, we survey the existing work of link mining algorithms and clustering techniques which provide the rich data to the users.
Authors and Affiliations
Rashmi Sharma, Kamaljit Kaur
Keywords
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